三结GaInP/GaAs/Ge太阳能电池的数值模拟,以提供对高浓度填充因子损失的见解

A. Kanevce, J. Olson, W. Metzger
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引用次数: 3

摘要

我们建立了Ga0.5In0.5P/GaAs/Ge三结太阳能电池模型,包括两个Esaki二极管,分析了性能随光照强度的变化。正如实验所观察到的那样,填充因子(FF)是限制高浓度水平下效率的主要性能方面。由于GaAs/GaInP背表面场产生的串联电阻和势垒,FF降低。通过调整载流子浓度或与背表面场(BSF)相关的材料和吸收剂中的载流子浓度,可以在高浓度水平下减少FF损失并提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical simulations of triple-junction GaInP/GaAs/Ge solar cells to provide insight into fill-factor losses at high concentration
We have modeled a Ga0.5In0.5P/GaAs/Ge triple junction solar cell, including two Esaki diodes, to analyze how performance changes with illumination intensity. As has been observed experimentally, fill factor (FF) is the primary aspect of performance that limits efficiency at high concentration levels. The FF decreases because of series resistance and barriers created by the GaAs/GaInP back surface field. By adjusting carrier concentration or the material associated with the back surface field (BSF) and the carrier concentration in the absorber, FF losses can be reduced and efficiency enhanced at high concentration levels.
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